Release Note Details for Deep Learning AMI (Ubuntu) Version 1.0

AWS Deep Learning AMI

The AWS Deep Learning AMI are prebuilt with CUDA 8 and 9, and several deep learning
frameworks.
The DLAMI uses the Anaconda Platform with both Python2 and Python3 to easily switch
between frameworks.

Highlights of the Release

Used Ubuntu 2017.09 (ami-8c1be5f6) as the base AMI

CUDA 9

CuDNN 7

NCCL 2.0.5

CuBLAS 8 and 9

glibc 2.18

OpenCV 3.2.0

Pre-built Deep Learning Frameworks

Apache MXNet: MXNet is a flexible, efficient, portable and scalable open source library for deep
learning.
It supports declarative and imperative programming models, across a wide variety of
programming languages, making it powerful yet
simple to code deep learning applications. MXNet is efficient, inherently supporting
automatic parallel scheduling of portions of
source code that can be parallelized over a distributed environment. MXNet is also
portable, using memory optimizations that allow
it to run on mobile phones to full servers.

branch/tag used: v0.12.0

Justification: Stable and well tested

To activate:

For Anaconda Python2.7+ - source activate mxnet_p27

For Anaconda Python3+ - source activate mxnet_p36

Caffe2: Caffe2 is a cross-platform
framework made with expression, speed, and modularity in mind.